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Recent Advancements of Smart Manufacturing: An Example of Energy-Efficient Robot
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. KTH Royal Institute of Technology, Stockholm, Sweden. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0001-8679-8049
KTH Royal Institute of Technology, Stockholm, Sweden.
KTH Royal Institute of Technology, Stockholm, Sweden.
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0002-8906-630X
2016 (English)In: Proceedings of the 26th International Conference on Flexible Automation and Intelligent Manufacturing, 2016, 884-892 p.Conference paper, (Refereed)
Abstract [en]

The cloud technology provides sustainable solutions to the modern industrial robotic cells. Within the context, the objective of this research is to minimise the energy consumption of robots during assembly in a cloud environment. Given a trajectory and based on the inverse kinematics and dynamics of a robot from the cloud, a set of feasible configurations of the robot can be derived, followed by calculating the desirable forces and torques on the joints and links of the robot. Energy consumption is then calculated for each feasible configuration along the trajectory. The ones with the lowest energy consumption are chosen. Since the energy-efficient robot configurations lead to reduced overall energy consumption, this approach becomes instrumental and can be applied to energy-efficient robotic assembly.

Place, publisher, year, edition, pages
2016. 884-892 p.
National Category
Robotics
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-12705OAI: oai:DiVA.org:his-12705DiVA: diva2:948282
Conference
26th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM 2016), Seoul, Republic of Korea, 27-30 June 2016
Available from: 2016-07-11 Created: 2016-07-11 Last updated: 2017-02-16Bibliographically approved

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